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Cis-regulatory somatic mutations and
gene-expression alteration in B-cell lymphomas
A. Mathelier, C. Lefebvre, A.W. Zhang, D.J. Arenilas, J. Ding,
W.W. Wasserman, and S.P. Shah
Genome Biology, 2015, 16:84
2015 June 8th
anthony.mathelier@gmail.com @AMathelier
1
A cancer gene discovery gap
M.S. Lawrence et al.,
Nature, 2013.
Highly mutated cancer genes revealed through The Cancer
Genome Atlas project.
Still a discovery gap in the search of new cancer genes.
We assert this gap can be partially filled through the analysis
of the non-coding genome.
2
Cis-regulatory mutations may impact gene expression
Variation
TF
..GATCC.. ..GAACC..
TF
TFBS
adapted from W. Shi’s figure
3
Cis-regulatory mutations may impact gene expression
Variation
TF
..GATCC.. ..GAACC..
TF
TFBS
adapted from W. Shi’s figure
One needs to accurately locate TFBSs to identify and characterize
the regulatory sequences controlling specific genes transcription.
3
Predicting cis-regulatory elements genome wide
...gctaaGTAACAATgcgca...
...cttaaGTAAACATcgctc...
...ccaatGTAAACAAacgga...
MANTA
Adapted from Szalkowski and Schmid.
Briefings in Bioinfomatics, 2010
Mathelier et al.,
Nucleic Acids Research, 2014.
4
TFBSs defined as cis-regulatory elements
477 ChIP-seq data from ENCODE and literature
103 TFs with a JASPAR2014 TF binding profiles
76,160,599bp in TFBSs predicted in ChIP-seq peaks
(∼2% of the human genome)
5
Somatic cis-regulatory mutations in B-cell lymphomas
Whole genome sequence for 84 B-cell lymphoma patient
samples with matched control samples :
cohort 1 : 40 diffuse large B-cell lymphomas (DLBCL)
cohort 2 : 44 of mixed histology – 14 Burkitt lymphomas, 15
DLBCLs, 1 primary mediastinal B-cell lymphoma (PMBCL),
and 14 follicular lymphomas (FL)
406,611 SNVs and 15,739 indels in samples from cohort 1
282,636 SNVs and 8,080 indels in samples from cohort 2
RNA-seq for the cancer samples
Richter et al., Nat. Genetics, 2012 ; Morin et al., Blood, 2013
6
Promoters are frequent targets of cis-regulatory mutations
A BCohort1 Cohort2
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
x
y
HIST1H1B
ST6GAL1
TMSB4X
ZFP36L1
NEDD9
BCL7A
RHOH
BIRC3
CIITA
IG
LL5
BTG2
SG
K1
CD74
BCL2
BCL6
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
x
y
HIST1H1C
HIST1H1E
TMSB4X
ZFP36L1
BCL2L11
BZRAP1
DNM
T1
ZNF860
N
CO
A3
FOXO1
BACH2
CXCR4
DUSP2
RFTN1
TCL1A
BCL7A
SOCS1
SEPT9
P2RX5
S1PR2
RHOH
EPS15
BIRC3
CIITA
DTX1
IG
LL5
BTG2
BTG1 SG
K1
CD74
CD83
BCL2
BCL6
PIM1
MYC
B2M
IRF1
IRF4
LTB
ID3
p = 1.16 x 10-75
p = 3.28 x 10-156
7
Promoters are frequent targets of cis-regulatory mutations
A BCohort1 Cohort2
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
x
y
HIST1H1B
ST6GAL1
TMSB4X
ZFP36L1
NEDD9
BCL7A
RHOH
BIRC3
CIITA
IG
LL5
BTG2
SG
K1
CD74
BCL2
BCL6
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
x
y
HIST1H1C
HIST1H1E
TMSB4X
ZFP36L1
BCL2L11
BZRAP1
DNM
T1
ZNF860
N
CO
A3
FOXO1
BACH2
CXCR4
DUSP2
RFTN1
TCL1A
BCL7A
SOCS1
SEPT9
P2RX5
S1PR2
RHOH
EPS15
BIRC3
CIITA
DTX1
IG
LL5
BTG2
BTG1 SG
K1
CD74
CD83
BCL2
BCL6
PIM1
MYC
B2M
IRF1
IRF4
LTB
ID3
p = 1.16 x 10-75
p = 3.28 x 10-156
12 genes targeted in both cohorts independently
Additional 13 genes from combined cohorts not previously
described as hypermutated
−→ 6 of them exclusively mutated in their promoters 7
Promoters of apoptic, B-cell, and cancer pathway genes
are frequent targets of cis-regulatory mutations
Cohort1
lymphoma
small cell lung
cancer
apoptosis
in apoptotic
signaling
role of
mitochondria
hiv-1 nef:
negative
effector of fas
and tnf
keratinocyte
differentiation
ceramide
signaling
pathway
regulation of B
cell
proliferation
positive
regulation of B
cell
proliferation
lymphocyte
differentiationnegative
regulation of
lymphocyte
apoptotic
process
leukocyte
activation
negative
regulation of B
cell apoptotic
process
regulation of B
cell activation
leukocyte
differentiation
positive
regulation of
lymphocyte
proliferation
regulation of
cell growth
lymphocyte
activation
T cell
differentiation
positive
regulation of B
cell activation
negative
regulation of
intracellular
signal
transduction
positive
regulation of
leukocyte
proliferation
regulation of
type 2 immune
response
regulation of B
cell apoptotic
process
negative
regulation of T
cell
differentiation
positive
regulation of
mononuclear
cell
proliferation
GO Biological
Process OMIM
KEGG
Pathway BioCarta
FDR < 0.05
8
Landscape of mutations and altered gene expression
mutation
TFBS
Protein-coding exon
TSS
A
B
C
xseq input
Ding et al., submitted.
9
Landscape of mutations and altered gene expression
mutation
TFBS
Protein-coding exon
TSS
A
B
C
xseq input
PC and disrupting TFBS
Protein coding (PC)
PC and TFBS
Disrupting TFBS
TFBS
MYC
EYS
TP53
PTPRD
SMARCA4
BCL6
RYR2
ITPKB
WWC1
FCGBP
SGK1
TBL1XR1
ID3
CSMD3
SIN3A
VPS13C
UNC5D
NBAS
MTOR
PPP1R16B
USP25
ASCC3
GPHN
DHX35
PEX2
XRCC4
PXDN
JRKL
WHSC1L1
FBXW11
SRP72
CRIM1
FOXO1
DGKD
PHIP
PYGL
USP15
BRD2
C2CD3
LMO4
FMN2
SRFBP1
N4BP2
CCNG1
RHOA
DUSP2
TGFBR2
ARRDC3
CADPS2
PIM1
STIM2
GNA13
SA321012
SA320920
SA320824
SA320932
SA321004
SA320860
SA320992
SA320830
SA321030
SA320914
SA320842
SA320818
SA320980
SA320998
SA320848
SA320866
SA321106
SA320872
SA321119
SA320968
SA320962
SA320944
SA321050
SA321048
SA320956
SA321021
SA321103
SA320836
SA320902
SA321128
SA320974
0
2
4
6
8
10
12
0
5
10
15
20
Cohort2
9
Predicted genes and their deregulated interactors are
enriched for pathways related to cancer
Cohort2
phosphatidylinositol
signaling
system
chronic
myeloid
leukemia
gliomahuntingtons
disease
focal adhesion pancreatic
cancer
small cell lung
cancer
endometrial
cancer
non small cell
lung cancer
colorectal
cancer
cell cycle
prostate cancer
calcium
signaling
pathway
inositol
phosphate
metabolism
erbb signaling
pathway
mapk signaling
pathway
vegf signaling
pathway
long term
potentiation
fc epsilon ri
signaling
pathway
gnrh signaling
pathway
Cohort1
chronic
myeloid
leukemia
erbb signaling
pathway
acute myeloid
leukemia
pancreatic
cancer
prostate cancer
endometrial
cancer
glioma
ecm receptor
interaction
focal adhesion
epithelial cell
signaling in
helicobacter
pylori infection
renal cell
carcinoma
small cell lung
cancer
oxidative
phosphorylation
colorectal
cancer
WikiPathways
FDR < 0.05
10
Cis-regulatory mutation and associated gene with altered
expression
Scoredifference
−202468bits
1
2
1 2 3 4 5 6 7 8 9 10 11
ATATCTGTGGATTGATAAGAGTCAGAATCAC
ATATCTGTGGATTGATACGAGTCAGAATCAC
ref.
alt.
GATA3
Reference
Alternative
GNA13
Expression
Density
0 50 100 150 200 250
0.0000.0020.0040.006
Expression in sample
harbouring mutation
SOS1
F2RL3
CTNNA1ARHGEF2
AGTR1
ARHGAP4
ADRA1D
PLEKHG5
ARHGEF1
RASGRF2
TBXA2R
FGD1
ESR1
PIK3CA
ECT2
PIK3R2
SOS2
GNG2
ARHGEF6
TIAM1
RAC2
PIK3R1
VAV1
GNA13
ARHGEF18
ARHGEF9
RGS22 RHOB
CTNNB1
S1PR4
11
Summary
We analyzed ∼ 700, 000 somatic mutations from 84 B-cell
lymphoma samples
We characterized a set of cis-regulatory elements from
ChIP-seq
Cis-regulatory mutations are enriched in promoter regions of
genes involved in apoptosis or growth/proliferation
We combined gene expression and mutation data from the
coding and non-coding spaces
We highlight candidate regulatory-disrupting variations
dysregulating the gene expression program in cancer pathways
12
Acknowledgements
Wasserman lab :
Wyeth Wasserman
David Arenillas
Allen Zhang
all the Wasserman lab members
Shah lab :
Sohrab Shah
Calvin Lefebvre
Jiarui Ding
Funding :
Centre for Molecular Medicine
and Therapeutics
13

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Cis-regulatory somatic mutations and gene-expression alteration in B-cell lymphomas

  • 1. Cis-regulatory somatic mutations and gene-expression alteration in B-cell lymphomas A. Mathelier, C. Lefebvre, A.W. Zhang, D.J. Arenilas, J. Ding, W.W. Wasserman, and S.P. Shah Genome Biology, 2015, 16:84 2015 June 8th anthony.mathelier@gmail.com @AMathelier 1
  • 2. A cancer gene discovery gap M.S. Lawrence et al., Nature, 2013. Highly mutated cancer genes revealed through The Cancer Genome Atlas project. Still a discovery gap in the search of new cancer genes. We assert this gap can be partially filled through the analysis of the non-coding genome. 2
  • 3. Cis-regulatory mutations may impact gene expression Variation TF ..GATCC.. ..GAACC.. TF TFBS adapted from W. Shi’s figure 3
  • 4. Cis-regulatory mutations may impact gene expression Variation TF ..GATCC.. ..GAACC.. TF TFBS adapted from W. Shi’s figure One needs to accurately locate TFBSs to identify and characterize the regulatory sequences controlling specific genes transcription. 3
  • 5. Predicting cis-regulatory elements genome wide ...gctaaGTAACAATgcgca... ...cttaaGTAAACATcgctc... ...ccaatGTAAACAAacgga... MANTA Adapted from Szalkowski and Schmid. Briefings in Bioinfomatics, 2010 Mathelier et al., Nucleic Acids Research, 2014. 4
  • 6. TFBSs defined as cis-regulatory elements 477 ChIP-seq data from ENCODE and literature 103 TFs with a JASPAR2014 TF binding profiles 76,160,599bp in TFBSs predicted in ChIP-seq peaks (∼2% of the human genome) 5
  • 7. Somatic cis-regulatory mutations in B-cell lymphomas Whole genome sequence for 84 B-cell lymphoma patient samples with matched control samples : cohort 1 : 40 diffuse large B-cell lymphomas (DLBCL) cohort 2 : 44 of mixed histology – 14 Burkitt lymphomas, 15 DLBCLs, 1 primary mediastinal B-cell lymphoma (PMBCL), and 14 follicular lymphomas (FL) 406,611 SNVs and 15,739 indels in samples from cohort 1 282,636 SNVs and 8,080 indels in samples from cohort 2 RNA-seq for the cancer samples Richter et al., Nat. Genetics, 2012 ; Morin et al., Blood, 2013 6
  • 8. Promoters are frequent targets of cis-regulatory mutations A BCohort1 Cohort2 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 x y HIST1H1B ST6GAL1 TMSB4X ZFP36L1 NEDD9 BCL7A RHOH BIRC3 CIITA IG LL5 BTG2 SG K1 CD74 BCL2 BCL6 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 x y HIST1H1C HIST1H1E TMSB4X ZFP36L1 BCL2L11 BZRAP1 DNM T1 ZNF860 N CO A3 FOXO1 BACH2 CXCR4 DUSP2 RFTN1 TCL1A BCL7A SOCS1 SEPT9 P2RX5 S1PR2 RHOH EPS15 BIRC3 CIITA DTX1 IG LL5 BTG2 BTG1 SG K1 CD74 CD83 BCL2 BCL6 PIM1 MYC B2M IRF1 IRF4 LTB ID3 p = 1.16 x 10-75 p = 3.28 x 10-156 7
  • 9. Promoters are frequent targets of cis-regulatory mutations A BCohort1 Cohort2 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 x y HIST1H1B ST6GAL1 TMSB4X ZFP36L1 NEDD9 BCL7A RHOH BIRC3 CIITA IG LL5 BTG2 SG K1 CD74 BCL2 BCL6 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 x y HIST1H1C HIST1H1E TMSB4X ZFP36L1 BCL2L11 BZRAP1 DNM T1 ZNF860 N CO A3 FOXO1 BACH2 CXCR4 DUSP2 RFTN1 TCL1A BCL7A SOCS1 SEPT9 P2RX5 S1PR2 RHOH EPS15 BIRC3 CIITA DTX1 IG LL5 BTG2 BTG1 SG K1 CD74 CD83 BCL2 BCL6 PIM1 MYC B2M IRF1 IRF4 LTB ID3 p = 1.16 x 10-75 p = 3.28 x 10-156 12 genes targeted in both cohorts independently Additional 13 genes from combined cohorts not previously described as hypermutated −→ 6 of them exclusively mutated in their promoters 7
  • 10. Promoters of apoptic, B-cell, and cancer pathway genes are frequent targets of cis-regulatory mutations Cohort1 lymphoma small cell lung cancer apoptosis in apoptotic signaling role of mitochondria hiv-1 nef: negative effector of fas and tnf keratinocyte differentiation ceramide signaling pathway regulation of B cell proliferation positive regulation of B cell proliferation lymphocyte differentiationnegative regulation of lymphocyte apoptotic process leukocyte activation negative regulation of B cell apoptotic process regulation of B cell activation leukocyte differentiation positive regulation of lymphocyte proliferation regulation of cell growth lymphocyte activation T cell differentiation positive regulation of B cell activation negative regulation of intracellular signal transduction positive regulation of leukocyte proliferation regulation of type 2 immune response regulation of B cell apoptotic process negative regulation of T cell differentiation positive regulation of mononuclear cell proliferation GO Biological Process OMIM KEGG Pathway BioCarta FDR < 0.05 8
  • 11. Landscape of mutations and altered gene expression mutation TFBS Protein-coding exon TSS A B C xseq input Ding et al., submitted. 9
  • 12. Landscape of mutations and altered gene expression mutation TFBS Protein-coding exon TSS A B C xseq input PC and disrupting TFBS Protein coding (PC) PC and TFBS Disrupting TFBS TFBS MYC EYS TP53 PTPRD SMARCA4 BCL6 RYR2 ITPKB WWC1 FCGBP SGK1 TBL1XR1 ID3 CSMD3 SIN3A VPS13C UNC5D NBAS MTOR PPP1R16B USP25 ASCC3 GPHN DHX35 PEX2 XRCC4 PXDN JRKL WHSC1L1 FBXW11 SRP72 CRIM1 FOXO1 DGKD PHIP PYGL USP15 BRD2 C2CD3 LMO4 FMN2 SRFBP1 N4BP2 CCNG1 RHOA DUSP2 TGFBR2 ARRDC3 CADPS2 PIM1 STIM2 GNA13 SA321012 SA320920 SA320824 SA320932 SA321004 SA320860 SA320992 SA320830 SA321030 SA320914 SA320842 SA320818 SA320980 SA320998 SA320848 SA320866 SA321106 SA320872 SA321119 SA320968 SA320962 SA320944 SA321050 SA321048 SA320956 SA321021 SA321103 SA320836 SA320902 SA321128 SA320974 0 2 4 6 8 10 12 0 5 10 15 20 Cohort2 9
  • 13. Predicted genes and their deregulated interactors are enriched for pathways related to cancer Cohort2 phosphatidylinositol signaling system chronic myeloid leukemia gliomahuntingtons disease focal adhesion pancreatic cancer small cell lung cancer endometrial cancer non small cell lung cancer colorectal cancer cell cycle prostate cancer calcium signaling pathway inositol phosphate metabolism erbb signaling pathway mapk signaling pathway vegf signaling pathway long term potentiation fc epsilon ri signaling pathway gnrh signaling pathway Cohort1 chronic myeloid leukemia erbb signaling pathway acute myeloid leukemia pancreatic cancer prostate cancer endometrial cancer glioma ecm receptor interaction focal adhesion epithelial cell signaling in helicobacter pylori infection renal cell carcinoma small cell lung cancer oxidative phosphorylation colorectal cancer WikiPathways FDR < 0.05 10
  • 14. Cis-regulatory mutation and associated gene with altered expression Scoredifference −202468bits 1 2 1 2 3 4 5 6 7 8 9 10 11 ATATCTGTGGATTGATAAGAGTCAGAATCAC ATATCTGTGGATTGATACGAGTCAGAATCAC ref. alt. GATA3 Reference Alternative GNA13 Expression Density 0 50 100 150 200 250 0.0000.0020.0040.006 Expression in sample harbouring mutation SOS1 F2RL3 CTNNA1ARHGEF2 AGTR1 ARHGAP4 ADRA1D PLEKHG5 ARHGEF1 RASGRF2 TBXA2R FGD1 ESR1 PIK3CA ECT2 PIK3R2 SOS2 GNG2 ARHGEF6 TIAM1 RAC2 PIK3R1 VAV1 GNA13 ARHGEF18 ARHGEF9 RGS22 RHOB CTNNB1 S1PR4 11
  • 15. Summary We analyzed ∼ 700, 000 somatic mutations from 84 B-cell lymphoma samples We characterized a set of cis-regulatory elements from ChIP-seq Cis-regulatory mutations are enriched in promoter regions of genes involved in apoptosis or growth/proliferation We combined gene expression and mutation data from the coding and non-coding spaces We highlight candidate regulatory-disrupting variations dysregulating the gene expression program in cancer pathways 12
  • 16. Acknowledgements Wasserman lab : Wyeth Wasserman David Arenillas Allen Zhang all the Wasserman lab members Shah lab : Sohrab Shah Calvin Lefebvre Jiarui Ding Funding : Centre for Molecular Medicine and Therapeutics 13